December 18, at 7: Shainin sponsored classes, held at a central location, provide an opportunity to network and compare notes with problem solvers from other industries. Is there a repository of knowledge about Shainin System in addition to the mentioned book. From to Shainin was on the faculty of the University of Connecticut , where he originated and conducted the continuing education program for people in industry. The belief that there is diagnostic journey and a remedial journey the Shainin system algorithm , shown in Figure 1.

Confidential problems can be openly discussed. A good problem solver must not only convince themselves of what they have discovered, but also other disciplines, corporate leadership, suppliers and customers. There are Red X Masters. Seems shady to me. Eventually they were all gone.

Grant Award for his educational programs. Understand when to use full factorial experiments. June 29, at Develop Malfunction Event strategies. If possible, I would get that book and shanin up on the techniques before attending the courses.

Regarding whether Shainin was worth the money, if it only confirms that reducing scrap where they already planned to do so and then drills down to root cause, then certainly not.

shainin problem solving red x

You must be logged in to reply to this topic. May 29, at Continuous or Immediate Quality Improvement? Shainin asserted that his application of shainiin methods was more cost-effective and simpler than Taguchi methods.

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What is The Shainin™ System?

Probably not but does that really matter. Ideal projects would involve product performance, durability and reliability and conforming to regulatory requirements.


The coaching reinforces what the student has learned in class while ensuring proper usage of the strategies and tools.

Is there no other place and is it used in the manufacturing world. However, it only recently came to my attention. Shainin would claim that he could often find the primary defective part within a dozen paired swaps. So, I am up for free training, always willing to learn new things.

We provide independent third party certification to ensure that our exacting standards are met. Before long we were being trained to use their stuff, and more and more of their consultants showed up. Managing a reliability program.

Shainin incorporated these concepts in his development of Lot Plot. Having actual data instead of other types: Lot Plot refers to a statistical method for acceptance sampling developed by Dorian Shainin in the s. In the s Juran coined and popularized the notion of “the vital few and trivial many,” also known as “The Pareto Principle,” recognizing the uneven impact of problems on business performance to be the same phenomenon that Vilfredo Pareto had observed in respect to the distribution of wealth.

Patching little holes in a sinking boat before patching the largest holes will almost guarantee you boat will sink quicker than you can bail it out, e. But sometimes it works and is worth the money. At any point in the search, the idea is to divide the inputs remaining as possible dominant causes into mutually exclusive families, and then to carry out an investigation that will eliminate all but one family as the home of the dominant cause.


However, its underlying principles of SS can be placed in two groups:. Those have to be discovered. Solve Defect problems using Concentration Diagrams.

The Shainin System™ – Shainin Red X Method | ASQ

The assumption that there is a dominant cause possibly because of an interaction between two or more varying process inputs is unique to the Shainin System and has several consequences in its application. The Red X training we received was very good, actually made me look at things different. In the s Shainin recognized that the Pareto principle could be applied effectively to the solving of variation problems.

Learn accelerated testing techniques for both malfunction and destructive events.

shainin problem solving red x

Shainin concluded that, amongst the thousands of variables that could cause a change in the value of an output, one cause-effect relationship had to be stronger than the others.